Hsing-Ju Wu^1,2, Yu-Chieh Tsai^3,*, Hung-Yu Lin^2,4,*

European Cytokine Network, Vol.37, No.2, pp. 121-135, 2026, DOI:10.32604/ecn.2026.079012 - 30 June 2026

Abstract Backgrounds: Lymph node metastasis is a critical determinant of breast cancer prognosis, yet the specific microenvironmental cytokines driving this process remain elusive. This study aims to identify key prognostic cytokines linking nodal metastasis to tumor microenvironment (TME) remodeling and to evaluate their clinical utility. Methods: A predefined panel of 176 microenvironmental genes was evaluated using differential expression analysis and the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm on the TCGA-BRCA cohort to identify optimal predictors of nodal metastasis. Prognostic value was assessed via Kaplan-Meier, subgroup, and multivariate Cox regression analyses, and validated across five… More > Graphic Abstract

Ouail Mjahed^1,*, Soukaina Mjahed²

CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.3, 2026, DOI:10.32604/cmes.2026.083272 - 30 June 2026

Abstract Accurate aircraft engine diagnostics is essential for ensuring operational safety and enabling predictive maintenance under heterogeneous operating conditions. Although deep learning models can effectively capture high-dimensional multivariate sensor dynamics, purely data-driven approaches often entangle operating-condition variability with degradation-sensitive patterns, which limits robustness and generalization. This paper introduces PRIME, a physics-guided residual integrated framework for multi-task aircraft engine diagnostics. Rather than embedding explicit thermodynamic equations or physical constraints into the optimization process, PRIME relies on a physically motivated residual decomposition strategy that separates operating-condition-driven nominal behavior from degradation-sensitive sensor deviations. Specifically, nominal responses are estimated from operating-condition… More >

Irene Bernal-Florindo^1,2, Jose Angel Raposo-Puglia^2,3, Felix A. Ruiz^2,4, Jose Perez-Requena^2,5, Cristian Benavides-de la Fuente^2,5, Javier Galan^2,6, Maria Jose Berruezo-Salazar^2,7, Marcial Garcia-Rojo^1,2, Cecilia Fernandez-Ponce^2,4,*, Antonio Santisteban-Espejo^2,8

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079403 - 16 June 2026

Abstract Classic Hodgkin lymphoma (CHL) constitutes a B-cell malignant lymphoid neoplasm derived from the germinal center. Despite current treatment protocols based on chemotherapy, radiotherapy, anti-cluster of differentiation (CD) 30 antibody-drug conjugates, immunotherapy, and hematopoietic stem cell transplantation (HSCT), between 10% and 20% of CHL patients fail to achieve a complete response. The reasons underlying this lack of treatment sensitivity remain unclear. Traditionally, clinical and analytical variables have constituted the cornerstone of CHL prognostic model development. However, in recent years, the distribution and spatial relationships of cancer and immune cells within the CHL tumor microenvironment (TME) have… More >

Yu-Wei Liu^1,#, Yung-Kuo Lee^2,3,4,#, Kai-Fu Chang^2,3, Chung-Bao Hsieh⁵, Chih-Hsuan Chang^2,4, Ching-Chung Ko^6,7,8, Hui-Ru Lin^4,9, Chi-Jen Wu^9,10, Chien-Han Yuan^2,4,11,12, Sachin Kumar^13,14,15, Dahlak Daniel Solomon¹³, Do Thi Minh Xuan¹⁶, Neethu Palekkode¹⁷, Ayman Fathima¹⁸, Hung-Yun Lin^{5,19,20,21,22}, Chih-Yang Wang^13,14,19, Chih-Jen Yang^23,24,*, Yuen-Jung Wu^25,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.074013 - 16 June 2026

Abstract Background: Lung adenocarcinoma (LUAD) is the most common subtype of non-small cell lung cancer (NSCLC) and remains a leading cause of cancer-related mortality worldwide. Aberrant glycosylation contributes to tumor progression by regulating receptor signalling, immune evasion, and metastatic. However, the prognostic and therapeutic relevance of glycosylation-related genes (GRGs) in LUAD has not been comprehensively defined. Therefore, this study aimed to comprehensively evaluate GRG-associated molecular subtypes and their clinical and therapeutic relevance in LUAD. Methods: GRGs were curated from multiple public databases and integrated with transcriptomic and clinical data from The Cancer Genome Atlas LUAD cohort (TCGA-LUAD)… More >

Kang-Woo Lee, Dong-Hee Lee^*, Dae-Il Kwon^*

CMC-Computers, Materials & Continua, Vol.88, No.2, 2026, DOI:10.32604/cmc.2026.081667 - 15 June 2026

Abstract Early-life cycle-life prediction for lithium-ion batteries—estimating end-of-life from initial cycles—is valuable for rapid cell screening and battery health management. We investigate whether an explicit correlation-structure descriptor can complement physics-informed ΔQ-based indicators and generic early-cycle statistical features on the Severson 124-cell benchmark. We develop a lightweight hybrid framework that combines ΔQ-based health indicators, data-driven statistical features, and Laplacian Eigenmaps embeddings derived from a Pearson-correlation feature graph, with XGBoost used as the predictor. Across five feature configurations (ΔQ Only, ΔQ + Statistics, Hybrid Append, VIF + Laplacian, and Integrated Laplacian), we evaluate pointwise regression accuracy using RMSE and R² together… More > Graphic Abstract

Xiaolin Wei^1,2, Jing Guo¹, Chuntao Tao³, Yong Bao², Li Yang^1,*, Hong Chen^1,*

Oncology Research, Vol.34, No.6, 2026, DOI:10.32604/or.2026.078651 - 21 May 2026

Abstract Objectives: Uridine-cytidine kinase 2 (UCK2) plays a crucial role in the pyrimidine salvage pathway, but its function in lung adenocarcinoma (LUAD) is still largely unclear. The study aimed to investigate the expression, prognostic value, biological functions, and molecular mechanisms of UCK2 in LUAD. Methods: Bioinformatic analyses were performed using The Cancer Genome Atlas (TCGA), Gene Set Cancer Analysis (GSCA), Gene Expression Omnibus (GEO), and Genotype Tissue Expression (GTEx) datasets. In vitro assays evaluated the effect of UCK2 overexpression on LUAD cells. Co-immunoprecipitation and pathway analyses were utilized to explore the underlying mechanism. Immune landscape and drug sensitivity… More >

Ya-Ling Yang^1,#, Ying-Hsien Huang^2,#, Hung-Yu Lin^3,4,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.075284 - 22 April 2026

Abstract Background: Hepatocellular carcinoma (HCC) presents with poor treatment outcomes, creating an urgent need for novel biomarkers to improve diagnosis, prognosis, and precision medicine. While the MYB family of oncogenes is implicated in cancer, the role and regulatory mechanisms of its member, particularly MYB proto-oncogene like 2 (MYBL2), remain underexplored in HCC. Therefore, this study aimed to systematically validate the clinical significance of MYBL2, elucidate its functional role in tumor progression and drug sensitivity, and identify its upstream regulatory mechanisms using an integrative machine learning and experimental framework. Methods: We applied an integrative pipeline combining LASSO-based… More > Graphic Abstract

Chia-Chia Chao¹, Cheng-Yao Lin^2,3,4, Po-Chun Chen^5,6,7, Wen-Tsung Huang², Teng-Song Weng⁸, Sheng-Yen Hsiao^2,9,*

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074383 - 22 April 2026

Abstract Background: Partial epithelial–mesenchymal transition (p-EMT) is a dynamic cellular state associated with metastasis and adverse outcomes in multiple cancers, but its prognostic significance in ovarian cancer remains unclear. This study aimed to develop and validate an ovarian cancer–specific transcriptomic signature based on p-EMT–related genes, and to determine whether this signature can improve prognostic stratification and overall survival prediction across independent cohorts. Methods: A pan-cancer p-EMT gene set was curated from ten published studies. Using transcriptomic and clinical data from TCGA-OV (n = 488), a six-gene p-EMT signature was developed via LASSO regression to generate a… More >

Aleksander Strąk¹, Ludmiła Grzybowska-Szatkowska^1,*, Paweł Cisek¹, Marta Ostrowska-Leśko², Jarosław Dudka², Joanna Kubik³, Jacek Osuchowski⁴, Paweł Szmygin⁴, Bożena Jarosz⁴, Andrzej Krajka⁵, Tomasz Krajka⁶, Kazimierz Szatkowski⁷, Brygida Ślaska⁸

Oncology Research, Vol.34, No.5, 2026, DOI:10.32604/or.2026.074078 - 22 April 2026

Abstract Objectives: Brain gliomas are among the tumors with the worst prognosis, and their incidence is increasing. Postoperative temozolomide-based chemoradiotherapy for grades 3 and 4 gliomas extended overall survival (OS) by approximately two months. An increasing number of clinical trials are investigating molecular-based therapy. Recent studies have demonstrated the involvement of Golgi apparatus proteins, including MYO18A (myosin-18A), in processes associated with abnormal proliferation, migration, apoptosis evasion, and angiogenesis promotion. The aim of this study was to investigate whether MYO18A has prognostic value in patients treated for brain gliomas. Methods: The research material in the work included… More >

Pablo Guillén¹, Enrique Frias-Martinez^2,*

CMC-Computers, Materials & Continua, Vol.87, No.2, 2026, DOI:10.32604/cmc.2026.076400 - 12 March 2026

Abstract Alzheimer’s disease (AD) diagnosis and prognosis increasingly rely on machine learning (ML) models. Although these models provide good results, clinical adoption is limited by the need for technical expertise and the lack of trustworthy and consistent model explanations. SHAP (SHapley Additive exPlanations) is commonly used to interpret AD models, but existing studies tend to focus on explanations for isolated tasks, providing little evidence about their robustness across disease stages, model architectures, or prediction objectives. This paper proposes a multi-level explainability framework that measures the coherence, stability and consistency of explanations by integrating: (1) within-model coherence… More >